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CONTRIBUTING.md
to the core. * As every PR requires several CPU/GPU hours of CI testing, we discourage submitting PRs to fix one typo, one warning,etc. We recommend fixing the same issue at the file level at least (e.g.: fix all typos in a file, fix all compiler warnings in a file, etc.) * Tests should follow the [testing best practices](https://www.tensorflow.org/community/contribute/tests) guide. #### License
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tensorflow/c/eager/tape.h
// watched inputs. void Watch(int64_t tensor_id); // Records an operation with inputs `input_tensor_id` and outputs // `output_tensors` on the tape and marks all its outputs as watched if at // least one input of the op is watched and has trainable dtype. // // op_type is used to decide which of the incoming gradients can be left as // nullptr instead of building zeros when build_default_zeros_grads == true.
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tensorflow/c/eager/parallel_device/parallel_device_lib.cc
tensorflow::condition_variable finished_join_; // Temporary state between `StartExecute` and `Join`. // // Inputs; pointers are to objects not owned by the DeviceThread, but which // are expected to live at least until `Join` finishes: TFE_Context* context_ TF_GUARDED_BY(execution_mutex_); const char* operation_name_ TF_GUARDED_BY(execution_mutex_); absl::optional<int64_t> step_id_ TF_GUARDED_BY(execution_mutex_) =
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